Reliability and availability analysis of on surface transit systems

Quantitative assessment of protection system reliability incorporating human errors

“…There are numerous techniques/ methods available for conducting reliability assessment, such as technique for human error rate prediction (THERP) [17], maintenance error and decision aid (MEDA) [14], cognitive reliability and error assessment method (CREAM) [18], human error assessment and reduction technique (HEART) [19], a technique for human error analysis (ATHEANA) [20], human factors analysis and classification system (HFACS) [21], and dynamic reliability technique for error assessment in man-machine systems (DREAMS) [22]. Moreover, in some references, human reliability is assessed using a Markov model with a constant transition for human error [23,24]. A Markov model can be usefully applied to system reliability, safety, and availability studies, particularly for maintained systems for which block diagram analysis (BDA) is not directly applicable, and it is used for analysing complex systems such as power generation and communication systems [25].…”

Modeling transit vehicle repair duration and active service time

“…5, July 2011, 433Á442 (1990), Schiavone (1997) and Sawicki and Zak (2009), while repair scheduling and algorithms are discussed in Dutta et al (1986) and Haghami and Shafani (2002). Schedule reliability and its ties with maintenance are discussed in Guenthner and Sinha (1983), Dhillon and Rayapati (1984) and Sorratini et al (2008) and the computationally cumbersome topic of maintenance optimization is treated in Dekler (1996) and Maclean et al (2005). Finally, some specialized aspects of maintenance performance, inspection and vehicle retirement are discussed in Kavalec and Setiawan (1997) and Kazopoulo et al (2007).…”